Machine Learning Engineer Jobs in New York
Machine Learning Engineer jobs in New York are among the most active in the country, concentrated in finance, media, healthcare technology, and enterprise software, with openings at every level from entry-level to principal engineer. New York City is the dominant hiring hub, with significant activity in Westchester and Buffalo as well, where firms like JPMorgan Chase, IBM, and Google maintain large and lasting engineering presences. The most in-demand specializations right now are natural language processing, recommendation systems, and MLOps infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 408+ Machine Learning Engineer jobs
Job ID: 1161543_RR00119546
Facility: NYU Grossman School of Medicine
Position Type: Full-Time/Regular
Shift: Day
Schedule: 9am-5pm
Department: IT/Health IT/Informatics, MCIT-Predictive Analytics (S2128), NYU Grossman School of Medicine
NYU Grossman School of Medicine is one of the nation’s top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
Position Summary:
We have an exciting opportunity to join our team as a Sr. Engineer I – AI.
As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers – data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).
Job Responsibilities:
- Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development
- Collaborate with data scientists to build and/or fine-tune high performing AI models and implement modern techniques from relevant published papers
- Develop scalable and robust pipelines to support large data processing tasks
- Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards
- Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI)
- Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow/work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities
- Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team
- Provide technical guidance and coaching to less experienced team members
- Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support
Minimum Qualifications:
To qualify you must have a – Bachelor’s degree in computer science, software engineering, or a related field.
- At least 3-5 years of hands-on experience in AI Solution development
- Strong programming skills in Python, or other languages commonly used in AI development
- Substantial knowledge of AI, machine learning, and deep learning
- Experience with AI platforms like PyTorch or TensorFlow
- Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)
- Understanding of software development principles and methodologies, including data structures, data modeling and software architecture
- Excellent problem-solving skills and ability to work in a team environment
- Excellent communication skills, both verbal and written
Preferred Qualifications:
- Masters degree in computer science, data science, software engineering, or a related quantitative discipline
- 5-7 years of hands-on experience in AI Solution development
- Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI/ML toolchain
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it’s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $101,493.51 – $147,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
About NYU Langone Health
Be Where Everyone Is Dedicated to Exceptional Care
NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.
Our Hiring Process
Joining Our Team
Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.
Step 1
Apply Online
The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.
Step 2
Schedule Interviews
If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.
Step 3
Receive Offer
If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.
Step 4
Training & Orientation
You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.
Job ID: 1161543_RR00119546
Facility: NYU Grossman School of Medicine
Position Type: Full-Time/Regular
Shift: Day
Schedule: 9am-5pm
Department: IT/Health IT/Informatics, MCIT-Predictive Analytics (S2128), NYU Grossman School of Medicine
NYU Grossman School of Medicine is one of the nation’s top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
Position Summary:
We have an exciting opportunity to join our team as a Sr. Engineer I – AI.
As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers – data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).
Job Responsibilities:
- Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development
- Collaborate with data scientists to build and/or fine-tune high performing AI models and implement modern techniques from relevant published papers
- Develop scalable and robust pipelines to support large data processing tasks
- Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards
- Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI)
- Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow/work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities
- Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team
- Provide technical guidance and coaching to less experienced team members
- Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical support
Minimum Qualifications:
To qualify you must have a – Bachelor’s degree in computer science, software engineering, or a related field.
- At least 3-5 years of hands-on experience in AI Solution development
- Strong programming skills in Python, or other languages commonly used in AI development
- Substantial knowledge of AI, machine learning, and deep learning
- Experience with AI platforms like PyTorch or TensorFlow
- Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)
- Understanding of software development principles and methodologies, including data structures, data modeling and software architecture
- Excellent problem-solving skills and ability to work in a team environment
- Excellent communication skills, both verbal and written
Preferred Qualifications:
- Masters degree in computer science, data science, software engineering, or a related quantitative discipline
- 5-7 years of hands-on experience in AI Solution development
- Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI/ML toolchain
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it’s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $101,493.51 – $147,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
About NYU Langone Health
Be Where Everyone Is Dedicated to Exceptional Care
NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.
Our Hiring Process
Joining Our Team
Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.
Step 1
Apply Online
The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.
Step 2
Schedule Interviews
If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.
Step 3
Receive Offer
If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.
Step 4
Training & Orientation
You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.
See All 408+ Machine Learning Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Machine Learning Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Capital One39
- Amazon37
- Spotify15
- EY10
- Datadog9
Top Industries Hiring
- Technology & Software130
- Banking & Financial Services49
- Investment & Asset Management27
- Music22
- Consulting & Professional Services19
What New York Employers Look For
The qualifications that appear most often in machine learning engineer jobs across New York.
- Bachelor's or master's degree in computer science, mathematics, or a closely related field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying production machine learning models at scale
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Strong grasp of statistics, linear algebra, and applied mathematics for model development
- Experience with MLOps tooling, model monitoring, and data pipeline orchestration
Machine Learning Engineer Jobs in New York: Frequently Asked Questions
How do you become a machine learning engineer in New York?
Machine learning engineering has no state-issued license in New York, so the path runs through education and demonstrated technical skill. Most New York employers expect at least a bachelor's degree in computer science, data science, or mathematics, with a master's degree preferred at larger finance and tech firms. Building a portfolio of deployed projects, contributing to open-source repositories, and completing graduate programs at institutions like Columbia, Cornell Tech, or NYU puts candidates in a strong position for New York's competitive market.
How much do machine learning engineers make in New York?
Machine learning engineers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in New York?
Employers hiring machine learning engineers in New York right now include Capital One, Amazon, and Spotify, based on current listings on Migrate Mate as of June 2026. New York's finance sector, anchored by large investment banks and fintech firms headquartered in Manhattan, is a particularly consistent source of machine learning engineering roles.
Which New York cities have the most machine learning engineer jobs?
New York, New York, and New York City have the most machine learning engineer openings in New York. New York City accounts for the clear majority of listings, driven by its dense concentration of financial institutions, media companies, and enterprise tech employers, while smaller markets like Buffalo have seen growth tied to university research partnerships and regional healthcare technology firms.
Are there remote machine learning engineer jobs in New York?
Yes, and more than most fields. About 31% of machine learning engineer openings tied to New York are remote or hybrid as of June 2026, reflecting how naturally the work translates to distributed environments. Research, modeling, and experimentation tasks are the most consistently remote, while roles requiring close collaboration with data engineering or product teams are more likely to require time on-site.
How can I get hired as a machine learning engineer in New York with little or no experience?
The most realistic entry path is a junior or associate machine learning engineer role, often posted by mid-size fintech companies and healthcare technology firms in New York that run structured onboarding programs for recent graduates. Completing a master's program at Columbia, NYU, or Cornell Tech while building applied projects creates a direct pipeline into entry roles. Data analyst and software engineer positions at large New York employers like Bloomberg or Verizon are also common lateral moves that lead into machine learning tracks with internal transfers.
Where can I find and apply to machine learning engineer jobs in New York?
You can find and apply to machine learning engineer jobs in New York on Migrate Mate, which lists current openings across the state. Find roles that fit your experience and location and apply directly to each one.
See All 408+ Machine Learning Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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